code: def tree_flatten(self):
      return (
          (
              self.neff,
              self.dataset,
              self.weights,
              self.covariance,
              self.inv_cov,
          ),
          None,
      )
  
imports: from dataclasses import dataclass
  from functools import partial
  from typing import Any
  import numpy
  import scipy.stats
  import jax.numpy
  from jax import jit, lax, random, vmap
  from jax._src.numpy.util import check_arraylike, promote_dtypes_inexact, _wraps
  from jax._src.tree_util import register_pytree_node_class
  from jax.scipy import linalg, special
label_desc: Use image node_id 3 for calling the gaussian_kde obj's underlying member method code with example usage: obj.tree_flatten() and returns: self,  self,  self,  self,  self,  None